Triple

T37163898
Position Surface form Disambiguated ID Type / Status
Subject VobSub E920744 entity
Predicate canBeMuxedInto P60771 FINISHED
Object Matroska files LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Matroska files | Statement: [VobSub, canBeMuxedInto, Matroska files]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canBeMuxedInto
Context triple: [VobSub, canBeMuxedInto, Matroska files]
  • A. hasMultiplex
    Indicates that one entity possesses or is associated with multiple instances or channels of another entity within a shared structure or system.
  • B. canMerge chosen
    Indicates that two or more entities are compatible in such a way that they can be combined into a single unified entity or structure.
  • C. canBeAddedTo
    Indicates that one entity is capable of being combined or incorporated with another entity, typically without conflict or incompatibility.
  • D. canBeMultiple
    Indicates that the related item, value, or association is allowed to occur more than once rather than being restricted to a single instance.
  • E. canBeSplitAmong
    Indicates that something is divisible into parts that can be distributed among multiple recipients or groups.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f76ea0429081908c711b55599eac3c completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69ff0d80c0dc81909fbd12285c7a45c0 completed May 9, 2026, 10:33 a.m.
PD Predicate disambiguation batch_69ff0cd03e78819094895058f925fbfa completed May 9, 2026, 10:30 a.m.
Created at: May 3, 2026, 4:15 p.m.